Finance & Insurance

Finance & Insurance

Increasing Security

Because AI helps by analyzing larger volumes of security data and is also able to scale to the size of a company as it grows, this technology can aid organizations in identifying:

Fraudulent behavior

Suspicious transactions

Potential future attacks

Guru of FinTech sector

Radomil Štumpa

Mentor

FinTech 20+ years on projects across all continents including CEO roles & consultancy, leadership & business strategy consultant, published author and founder of UNIVERSAL SPORTSMAN.

Reducing Processing Times

AI allows you to process this information more accurately and quickly. Machine learning can recognize specific patterns and is able to improve with every task it undertakes. As a result, its ability to process information becomes quicker over time.

Reducing Duplicate Expenses and Human Error

Because documentation and processing require a lot of brainpower, it’s natural that there’s more space for human error. While AI isn’t advanced enough to replace humans altogether, it can validate and double-check information for duplicate expenses, among other common mistakes.

Increasing Levels of Automation

AI understands approval workflows and allows companies to restructure and automate the expense tracking process. It also helps to automatically prevent reimbursement fraud and guides organizations with their budgeting efforts, thanks to automated reports.

Automated Customer Support

Automated financial assistants and planners assist users in making financial decisions. These include monitoring events, stock and bond price trends according to the user’s financial goals and personal portfolio, which can help in making recommendations regarding bonds and stocks to buy or sell.

Insurances Management

Insurance management with AI systems will automate, and hence significantly speed up, the underwriting process and utilize more crude information to make better decisions for the customers. Automated agents can assist the user online, in determining insurance requirements.

Predictive analysis in Financial Services

Predictive analytics in financial services can directly affect overall business strategy, sales nurturing, revenue generation and resource optimization. It can serve as a game changer by enhancing business operations, improving internal processes, and surpassing competitors. Predictive analysis can also help calculate credit scores and help prevent bad loans.